项目管理者胜任力模型

研究尝试确定IT企业项目管理者的胜任力要素及其内在结构。322名某IT企业开发部门的项目经理和项目小组成员参与了问卷调查．评价由深度访谈所确定的项目管理者胜任特征检核表,探讨ⅡT企业优秀项目管理者的胜任特征模型。研究结果表明。IT企业项目管理者的胜任力可归为5个因子：个性魅力、应变能力、大局观、人际关系处理能力、品格。共解释方差变异的55．96％。研究还探讨了该模型对IT企业项目经理的选拔和培训的参考价值。     

MBTI人格类型量表:新近发展及应用

MBTI是Katherine Briggs与Isabel Myers共同研制出的一种人格类型评估工具.近些年来,伴随其理论的演进,MBTI量表本身也经历了三个阶段的发展.通过系统梳理MBTI的发展历程并总结相关应用研究的主要结论,发现:该量表的内在发展脉络是“从类型间差异评估,到类型内差异评估,直至个体差异评估”.而未来研究应注重:调查我国职业基础人群MBTI人格类型,建立数据库;深化MBTI量表研究;开展MBTI跟踪研究及跨文化研究;深入并拓展MBTI人格类型的应用研究领域.     

动态系统累积变量判断中的关联启发式

关联启发式是指在累积变量判断中, 将存量与流量建立正相关关系, 认为存量变化特征与流量变化特征具有相似性而导致判断偏差的思维模式。在多特征交互及简单动态系统任务判断中, 关联启发式偏差以不同形式的S-F错误表现出来。作为一种内生性的、顽固的思维模式, 对于关联启发式的心理机制提出了客体偏差、特征替代、不充分调整等多种观点解释。影响关联启发式的个体因素和情境因素的研究结果不尽一致。由于关联启发式偏差直接影响人对复杂系统的可持续性决策和行动, 减少偏差策略的研究也已实现起步。本文系统总结和分析了关联启发式研究的发展脉络, 针对澄清关联启发式的发生机制、系统考察关联启发式的影响因素及其相互作用、丰富和深化关联启发式的研究范式、开发减少关联启发式的有效途径等方面, 提出了深化研究的方向和思路。     

知识员工团队工作自主性与效能的关系研究

团队日益成为新经济时代背景下知识员工工作的主要方式。追求工作自主性同时也被认为是知识员工的核心特征之一。对杭州地区13家企业的35个工作团队的调查发现,工作自主性是一个二阶单因素结构,包含三个子维度:方法、进度和标准的自主性。回归分析显示:领导者信任在知识员工团队工作自主性与团队激励间起正向调节作用;反馈在团队激励与团队工作绩效及满意感间起负向调节作用。     

嵌入于社会情境的工作重塑

工作重塑实质上是一种情境性的主动性行为。基于已有研究成果,首先系统归纳工作重塑与社会情境因素之间关系的4种研究视角,即社会情境是工作重塑的目标、社会情境因素是工作重塑的组成部分、社会情境因素影响工作重塑、社会情境因素为工作重塑设立边界条件。此外,梳理并讨论社会情境因素影响工作重塑的内在机制以及社会情境因素与个体特征的交互对于工作重塑的影响、工作重塑在特定情境中的有效性两方面的研究。在此基础上,结合其他相关变量的研究现状对嵌入于社会情境的工作重塑的未来研究进行展望,包括探索工作重塑对他人的影响、探索团队工作重塑驱动个体工作重塑的多重路径、探索社会情境影响工作重塑的内在机制、探索社会情境与个体特征的交互如何影响工作重塑,以及探讨基于中国社会情境的工作重塑的有效性。     

The influence of a pedestrian countdown display on pedestrian behavior at signalized pedestrian crossings

Pedestrian behavior has been a subject of surveys carried out at two signalized pedestrian crossings, in the city of Doboj (BIH, Republic of Srpska). The analysis is made on the basis of video recordings, and includes behavior at pedestrian crossings, in various conditions (two locations, different vehicle flows, with or without a countdown display). The analysis also includes the distribution of illegal crossings (at the pedestrian red light) of different categories of pedestrians (gender, age), before and after the installation of a pedestrian countdown display, at two different pedestrian crossings. The results of the study have shown that a countdown display reduces statistically significantly the total number of violators, regardless of its location and traffic flow. However, this reduction is not the same at various categories of pedestrians (male, female, elderly, young people). The influence of the display has been particularly dominant at the pedestrian crossing located outside the centre of the city, with the smaller intensity of traffic. Children pedestrians do not accept the behavior in accordance with the countdown display in case of a reduced intensity of traffic, at a pedestrian crossing located in the backstreet. A countdown display does not statistically significantly change the distribution form of the number of offences during the red light for pedestrians, regardless of the pedestrian environment. However, there is a statistically significant difference in certain intervals (during the first and last 4 s) in the total distribution, as well as in the categories (female pedestrians, children). A countdown display does not reduce the overall number of “slow” pedestrians, but the impact on certain categories of “slow” pedestrians (gender/children), as well as on pedestrian violators, per age categories, varies depending on the location and traffic flow at an intersection.     

Personality related traits as predictors of music practice: Underlying environmental and genetic influences

Little is known about reasons for individual differences in practice behavior – why do some individuals practice more than others? Here we explore personality related traits such as openness, motivation and flow proneness as well as IQ as potential predictors of music practice. Using a large Swedish twin cohort of more than 10,500 individuals we also estimated genetic and environmental influences underlying such associations. Significant associations with music practice were found for IQ, intrinsic motivation, music flow, and openness. With all predictors in the same model (including sex and age) we could explain about 25% of variance in music practice. However, IQ and intrinsic motivation became non-significant in the full model, with music specific flow being the strongest predictor of music practice. Multivariate genetic modeling with the two remaining significant predictors (openness and music flow) and music practice suggested that the associations between the variables were largely due to shared genetic influences with some additional non-shared environmental influences. Our findings suggest that common genes may influence both music practicing behavior and traits related to artistic interests and musical enjoyment (flow).